杨亚明
华山准聘副教授
电子邮箱：yym@xidian.edu.cn
办公地点：网安大楼AI区1114
杨亚明，博士，西安电子科技大学计算机科学与技术学院华山准聘副教授。研究方向是图数据（普通图、异质图、知识图谱等）的知识挖掘与表示学习技术。在NeurIPS, SIGKDD, AAAI, IEEE TKDE等CCF A类会议与期刊发表学术论文，其中两篇IEEE TKDE论文入选ESI高被引论文。相关研究成果应用于阿里巴巴旗下的淘宝广告搜索平台中，提升了平台及广告主的经济效益。主持国家自然科学基金青年项目、陕西省科技厅项目，作为骨干成员参与国家自然科学基金面上项目，科技委项目，陕西省重点研发计划等项目。受邀担任IEEE TPAMI, IEEE TKDE, IEEE TNNLS, IEEE ICDM, NeurIPS, AAAI, ACM SIGKDD, ACM SIGIR, ACM MM, ACM WSDM, ACM TKDD等学术期刊与会议的审稿人/PC Member。
代表性论文：
Weigang Lu, Ziyu Guan, Wei Zhao,Yaming Yang, AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation, The 30th SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD,CCF A类会议), 2024.
Guochen Ma, Xiaopeng Jiao, Jianjun Mu, Hui Han,Yaming Yang, Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels, IEEE Transactions on Communications (TCOM, IF=8.3, CCF B类期刊), 2024.
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao,Yaming Yang, Dacheng Tao, SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE, IF=8.9,CCF A类期刊), 2024.
Yiheng Lu, Ziyu Guan,Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu, Entropy Induced Pruning Framework for Convolutional Neural Networks, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI,CCF A类会议), 2024.
Weigang Lu, Ziyu Guan, Wei Zhao,Yaming Yang, Long Jin, NodeMixup: Tackling Under-Reaching for Graph Neural Networks, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI,CCF A类会议), 2024.
Yaming Yang, Hongchang Wu, Ziyu Guan, Jianxin Li, Wei Zhao, Cai Xu, Hao Li, Qingyu Cao, Yuanhai Lv, Distributed Dominance Graph-based Neural Multi-Objective Evolutionary Strategy for Sponsored Search Real-Time Bidding, Knowledge-Based Systems (KBS, IF=8.8,中科院1区Top), 2023.
Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan,Yaming Yang, Long Chen, Xiangyu Song, Progressive Deep Multi-view Comprehensive Representation Learning, The 37th Annual AAAI Conference on Artificial Intelligence (AAAI,CCF A类会议, Oral), 2023.
Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Bo Zong, Graph Substructure Assembling Network with Soft Sequence and Context Attention, IEEE Transactions on Knowledge and Data Engineering (TKDE, IF=9.235,ESI高被引,CCF A类期刊), 2023.
Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang, Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE Transactions on Knowledge and Data Engineering (TKDE, IF=9.235,ESI高被引,CCF A类期刊), 2023.
Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Self-supervised Heterogeneous Graph Pre-training based on Structural Clustering, Advances in Neural Information Processing Systems (NeurIPS,CCF A类会议, Spotlight), 2022.
Yaming Yang, Hongmin Liu, Ziyu Guan, Xiaofei He, Gaoliang Liu, A Cluster-attribute Correlation Aware Graph Clustering Framework, Neurocomputing (IF=5.719, 中科院2区Top), Vol. 412, pages 327-338, 2020.
1. 图深度学习
2. 图数据挖掘